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Sensors 2013, 13(2), 2515-2529; doi:10.3390/s130202515

Forgery Detection and Value Identification of Euro Banknotes

Image Processing Laboratory, University of Catania, Catania 95125, Italy
These authors contributed equally to this work.
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Received: 18 December 2012 / Revised: 29 January 2013 / Accepted: 4 February 2013 / Published: 18 February 2013
(This article belongs to the Section Physical Sensors)
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Abstract

This paper describes both hardware and software components to detect counterfeits of Euro banknotes. The proposed system is also able to recognize the banknote values. Differently than other state-of-the-art methods, the proposed approach makes use of banknote images acquired with a near infrared camera to perform recognition and authentication. This allows one to build a system that can effectively deal with real forgeries, which are usually not detectable with visible light. The hardware does not use any mechanical parts, so the overall system is low-cost. The proposed solution is reliable for ambient light and banknote positioning. Users should simply lean the banknote to be analyzed on a flat glass, and the system detects forgery, as well as recognizes the banknote value. The effectiveness of the proposed solution has been properly tested on a dataset composed by genuine and fake Euro banknotes provided by Italy's central bank. View Full-Text
Keywords: banknote recognition; counterfeit detection; image forgery banknote recognition; counterfeit detection; image forgery
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Bruna, A.; Farinella, G.M.; Guarnera, G.C.; Battiato, S. Forgery Detection and Value Identification of Euro Banknotes. Sensors 2013, 13, 2515-2529.

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